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China looks to overtake US lead in AI research
A new study from a team of economists at the University of Toronto has concluded that China is steadily gaining on the United States in the field of artificial intelligence.
The 2017 Association for the Advancement of Artificial Intelligence (AAAI), a worldwide conference that presents the achievements of the world’s AI leaders, indicated that 23 percent of the authors of academic papers were based from China, according to the AI and International Trade study. This was a massive leap in terms of research output, considering that Chinese AI researchers only contributed 10 percent of the research output in the 2012 AAAI.
The United States, on the other hand, seems to be experiencing a steady decline in its artificial intelligence initiatives. While 34 percent of the academic papers presented in the 2017 AAAI were still American, the number shows a significant decrease from the output of the country’s researchers back in 2012, when studies from the United States represented 41 percent of the academic papers in the conference.
The University of Toronto researchers ranked the world’s most AI-active countries based on time-series data on the institutional affiliation of all authors of papers presented at the AAAI Conference. From this data, the economists concluded that China is catching up rapidly to the United States, with the former exhibiting a 13% growth in research output and the latter showing a 6% decline in academic papers from 2012-2017. The other countries in the Top 5 of the study’s rankings — the UK, Singapore, and Japan — were fairly consistent with their research output during the same period.
In a statement to the New York Times, Elsa Kania, an adjunct fellow at the Center for a New American Security, stated that the United States’s own AI initiatives during the Obama administration might have ironically triggered the artificial intelligence boom in the Asian economic superpower.
“It is remarkable to see how AI has emerged as a top priority for the Chinese leadership and how quickly things have been set into motion. The US plans and policies released in 2016 were seemingly the impetus for the formulation of China’s national AI strategy,” she said.
Not long after the release of the previous administration’s AI reports, China unveiled a plan to become a world leader in artificial intelligence by 2025. By 2030, China aims to have an AI industry worth $150 billion to its economy — one that can stoke national pride and spark breakthroughs in the field.
AI will foster an era of ‘superhuman’ workers, says Google X founder [Photo credit: iStockPhoto]
Seemingly in contrast to China, the United States appears to have tempered down its efforts to maintain its lead in the artificial intelligence field. In a statement to the New York Times, Jack Clark of Elon Musk-backed OpenAI stated that the United States currently lacks a central national strategy in AI. Unfortunately for the US, a focused national stance on intelligent technologies is something that China has in abundance.
“We may have a bunch of small initiatives inside the government that are doing good, but we don’t have a central national strategy. It is confusing that we have this technology of such obvious power and merit and we are not hearing full-throated support, including financial support,” Clark said, according to an NYT report.
As we noted in a previous report, China recently announced a massive AI-driven initiative in the form of a massive 54.87-hectare, 13.8 billion yuan ($2.1 billion) technopark in Beijing that would house companies directly involved in the development of AI technologies and machine learning. The technopark is part of China’s attempts at attaining global AI superiority by 2025.
Overall, despite warnings from Tesla and SpaceX CEO Elon Musk and prominent physicists such as Stephen Hawking, countries such as China are going full throttle towards a future that is rife with evolving, intelligent AI.
Elon Musk
Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab
Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.
During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.
Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”
Tesla Semi’s official battery capacity leaked by California regulators
The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.
A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.
Tesla Semi AI4 cameras. The production version has 10 cameras on its exterior.
These trucks are designed to be autonomous. pic.twitter.com/GH3BamxIBQ
— Nic Cruz Patane (@niccruzpatane) April 14, 2026
Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.
The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.
It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.
This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.
Tesla Q2 2026 Earnings Results
- Non-GAAP EPS – $0.33 reported vs. $0.53 expected
- Revenues – $28.236 billion reported vs. $26.4 billion expected
- Free Cash Flow- -$1.092B
- Profit -$ 4.751B
Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.
Tesla shares closed today down just over 1 percent, trading at $374.01.
In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.
Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q2 2026 Earnings Call https://t.co/zZS6ii2TWK
— Tesla (@Tesla) July 22, 2026
Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.
Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:
It’s coming soon
— Elon Musk (@elonmusk) July 21, 2026
Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.
Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.
Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.
The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:
Tesla reveals 2026 Summer Update with crazy fixes to Nav and more
Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.
Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.
Elon Musk’s answer to Christopher Nolan’s Odyssey got way more specific
Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab
